Performance-portable geometric search library
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Updated
Jun 25, 2024 - C++
Performance-portable geometric search library
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.
Anytime Lazy kNN: A fast anytime kNN search algorithm that assesses only true kNN candidates in a lazy fashion.
Evaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Metrics include Zero-shot accuracy, Linear Probe, Image retrieval, and KNN accuracy.
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
Collections of vector search related libraries, service and research papers
Java library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs
This project shows how to search texts using KNN-algoritm. The embeded texts are indexed into OpenSearch, and a query is converted into a vector as an input of KNN
Create a Simple network of words related to each other using Twitter Streaming API.
Absolute balanced kdtree for fast kNN search.
Nearest Neighbour Search with Variables on a Torus
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
KNN Is A Machine Learning Algorithm For Pattern Recognition That Finds The Nearest K Observations To Predict A Target.
Course Project of Information Retrieval.
A super simple Q&A chat-bot applying vector search
Building a Custom Vector Search Engine with Weaviate : The project discusses the architecture of Weaviate, an open-source vector database and provides a tutorial implementation of a custom vector search engine using Weaviate Cloud Service(WCS).
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